OPEN17挑战:在线指导年轻创新者利用公民科学和开放数据实现可持续发展目标

Q1 Multidisciplinary
M. Mondardini, F. Grey
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引用次数: 0

摘要

在本文中,我们将介绍Open17挑战,这是一个受17个联合国可持续发展目标(sdg)启发的在线培训计划。自2015年联合国发起可持续发展目标以来,这一挑战大约每年都会出现一次。该课程持续五周,包括五次两小时的在线辅导课程,以及课程间隙参与者的家庭作业。挑战赛的目标是指导一组学生如何应用公民科学工具和方法来生成与可持续发展目标相关的开放数据。培训的目标是帮助每个团队将他们的想法发展到一个阶段,在这个阶段,他们可以通过将公民产生的数据众包来进行引人注目的宣传。随着组织机构从每一届比赛中吸取教训并不断改进,挑战赛的形式也在不断演变。本文的目的是描述Open17挑战在基于挑战的学习(CBL)背景下不断发展的方法,并更具体地讨论其与电子学习的相关性。特别是,我们分析了这种方法在可持续发展目标相关问题上产生新的公民科学项目的潜力,以期使其他组织能够适应并应用这种方法来应对与可持续发展目标相关的具体挑战。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
The OPEN17 Challenge: Online Coaching of Young Innovators to Tackle the Sustainable Development Goals with Citizen Science and Open Data
In this article, we introduce the Open17 Challenge, an online coaching programme, inspired by the 17 United Nations (UN) Sustainable Development Goals (SDGs). This challenge has occurred roughly once a year since 2015, when the UN launched the SDGs. It lasts five weeks and involves five two-hour online coaching sessions as well as homework for the participants between sessions. The objective of the challenge is to coach a team of students about how to apply citizen science tools and methodologies to generate open data relevant to the SDGs. The goal of the coaching is to help each team develop their idea to the stage where they can make a compelling pitch that involves crowdsourcing of citizen-generated data. The format of the challenge has evolved as the organizing institutions have learned from each edition and improved iteratively. The purpose of this article is to describe the evolving methodology of the Open17 Challenge in the context of challenge-based learning (CBL) and more specifically discuss its relevance to e-learning. In particular, we analyse the potential of this methodology to generate new citizen science projects on issues relevant to the SDGs, with a view to enabling other organizations to adapt and apply this approach to specific SDG-related challenges.
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来源期刊
Citizen Science Theory and Practice
Citizen Science Theory and Practice Multidisciplinary-Multidisciplinary
CiteScore
4.70
自引率
0.00%
发文量
25
审稿时长
45 weeks
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